【摘要】：微博,一個基于網(wǎng)絡(luò)社會關(guān)系的新興的信息實時發(fā)布、傳播及交流的社交網(wǎng)絡(luò)平臺。憑借其多元化、碎片化、裂變聚合式的傳播方式等特性,微博極大地優(yōu)化了新聞事件的傳媒效果,同時虛假信息甚至是謠言也隨之喧囂塵上,這就使得微博新聞事件的可信度研究越來越得到人們的重視。 本文全面分析總結(jié)影響微博信息可信度的三大基本要素,即微博用戶、傳播過程和消息內(nèi)容,進一步細化分析研究獲得各子要素并設(shè)計成相應(yīng)的假設(shè)指標,進而基于假設(shè)指標設(shè)計調(diào)查問卷并對各指標問項進行假設(shè)檢驗并經(jīng)修正獲得高效的影響因子,主要包含對各問項參數(shù)指標的量化與評估,問卷的信度與效度檢驗,以及樣本評估后的參數(shù)修正等過程,最后構(gòu)建可信度的評估指標模型體系。本文主要采用了組合賦權(quán)的方法,即統(tǒng)籌運用了基于Varimax方差正交旋轉(zhuǎn)的因子分析法、相關(guān)系數(shù)法以及AHP法來處理各參數(shù)假設(shè)指標的權(quán)值計算和假設(shè)檢驗參數(shù)的相關(guān)性驗證,進而采用基于AHP法的灰色評估模型來計算與評估各指標對于微博新聞事件信息可信度的影響程度。 實驗結(jié)果表明,微博用戶、微博傳播過程以及微博內(nèi)容,都極大地影響著微博新聞事件可信度的評估,其中微博內(nèi)容對可信度的影響最大；各子因素中,微博信息包含外部鏈接,情感類語義或非語義符號,用戶聲望,社群特性以及傳播樹深度與廣度等影響因子顯著地影響著微博新聞事件可信度的評估。
[Abstract]:Weibo, a social network platform for the real-time dissemination, dissemination and communication of information based on internet social relations. With its characteristics of diversification, fragmentation, fission and aggregation, Weibo has greatly optimized the media effects of news events, and at the same time, false information and even rumors have accompanied the uproar. This makes the credibility of Weibo news events more and more attention. This paper comprehensively analyzes and summarizes the three basic factors that affect Weibo's information credibility, namely the user, the dissemination process and the content of the message, and further details the analysis and research to obtain the sub-factors and design the corresponding hypothetical index. Then the questionnaire is designed based on the hypothesis index and the hypothesis test is carried out on each index question item and the high efficiency influence factor is obtained through the revision. It mainly includes the quantification and evaluation of the parameter index of the question item, the reliability and validity test of the questionnaire. Finally, the reliability evaluation index model system is constructed. This paper mainly adopts the method of combination weighting, that is, the factor analysis method based on orthogonal rotation of Varimax variance, the correlation coefficient method and the AHP method are used to deal with the weight calculation of each parameter hypothesis index and the correlation verification of the hypothesis test parameter. Then the grey evaluation model based on AHP method is used to calculate and evaluate the influence of each index on the credibility of Weibo news event information. The experimental results show that Weibo users, the process of Weibo communication and the content of Weibo greatly affect the credibility evaluation of the news events of Weibo, in which Weibo content has the greatest impact on the credibility; Among the sub-factors Weibo information includes external links emotional semantic or non-semantic symbols user prestige community characteristics and the depth and breadth of propagation tree.
【學位授予單位】：昆明理工大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TP393.092

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